1,946 research outputs found

    Closed-Angle Glaucoma: A Study of the Mechanism of Angle Closure

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    Presented in this thesis is a new conception of the mechanism underlying the development of closed angle glaucoma. It is based upon a study of the ocular tension and facility of aqueous outflow in normal eyes and those affected by the disease, in response to provocative tests, together with observations upon cases of chronic closed angle glaucoma and upon the apparently healthy eyes of cases wherein the disease is unilateral. The development of currently accepted views on the aetiology of closed angle glaucoma is traced in a review of the literature on the subject and it is shown that the disease is believed to be due to mechanical obstruction of the angle of the anterior chamber by the root of the iris in an eye wherein the lens is disproportionately large. It has been generally held until now that in an eye affected by this disease the ocular tension and facility of aqueous outflow between attacks of hypertension are completely normal and that the angle of the anterior chamber at these times is open and functioning freely. That this view is erroneous in in many cases, however, is the deduction to be drawn from the work presented in this thesis, for all the evidence supports the view that even in the early stages of the disease a variable portion of the angle of the anterior chamber is habitually closed and that the ocular tension and facility of aqueous outflow in such an eye, although still within the accepted limits of normality, is in fact already abnormal for the eye in question. The darkroom test is studied in detail and an analysis of the results of the test on normal eyes and those affected by closed angle glaucoma is presented. It is shown, contrary to the generally accepted view, that the rise in ocular tension occasioned by the test is influenced by the initial tension in the eye tested and probably by the degree of angle closure existing prior to the test. It is calculated that a rise in ocular tension of over 8.5 mm. Hg with the darkroom test is evidence in favour of a diagnosis of closed angle glaucoma. The development of the tonographic method of measuring the facility of aqueous outflow is outlined and and a new provocative test, the "darkroom outflow test" is described. In this test, measurements of the facility of aqueous outflow are made before and after one hour in the dark; the occurrence of angle closure being indicated by a measurable fall in the level of aqueous outflow. From a study of the results of this test on normal eyes and those affected by closed angle glaucoma it is concluded that a fall in the outflow level of at least 30% with this test is of significance. Contrary to the generally accepted view, it is shown that in cases of closed angle glaucoma, even where the resting ocular tension is within normal limits, the facility of outflow is lower than that found in comparable normal eyes, indicating the existence of some degree of angle closure in the affected eyes. It is also demonstrated that the rise in ocular tension occuring with the darkroom test is directly related to the level of aqueous outflow existing prior to the test and thus to the degree of angle closure present at that time. From a study of the effect of the darkroom test and the darkroom outflow test on normal eyes it is concluded, contrary to the generally accepted view, that variations in the rate of aqueous inflow play a more important part in the causation of changes in ocular tension than do alterations in the rate of aqueous outflow. (Abstract shortened by ProQuest.)

    Constructing Policy Success for UK Energy Feedback

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    Energy feedback tools are commonly used to promote energy saving. In the UK, energy feedback provision (currently via an In-Home Display) is part of the government-mandated roll-out of smart meters to all homes by 2020. A core assumption underlying this widespread provision is that information, or evidence, can lead to positive changes in action. This is analogous to assumptions underlying the notion of ‘Evidence-Based Policy’, which raises questions about how users, researchers and policymakers go about using evidence in aiming for a ‘successful’ outcome. In addition the ‘policy feedback’ research agenda has asked how policies alter the landscapes within which they operate by, for example, affecting relationships between actors. Via an in-depth review of DECC (now BEIS) policy literature over 2010-2016, the UK smart meter roll-out was analysed in terms of how its energy feedback focussed measures may be deemed as ‘successful’. Findings include that direct energy savings played a smaller role than might be expected, and translation from one success measure to another was repeatedly observed. A key conclusion is that acting on feedback requires an assessment of success, but such assessment is highly contextual, for consumers and policymakers alike. Ways to increase reflexivity in this area are discussed

    In Situ Contaminated Sediments Project – Work Package 1A Report

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    Project aims Defra is seeking to understand the magnitude of risks (e.g. to aquatic ecology and human health) or impacts (e.g. on the way that water bodies are managed) posed by contaminated sediment in England, as part of its work towards meeting its environmental objectives. In the context of this project, in-situ contaminated sediment is defined as: Chemically contaminated sediment within the water column, bed, banks and floodplain of a surface water body that has been transported alongside the normal sediment load and deposited by fluvial or coastal processes. This project considers the risk posed by non-agricultural diffuse pollution sources in England that result in the contamination of in-situ sediments (for example, contamination from toxic metals, hydrocarbons and surfactants). The scope encompasses both freshwater and marine sediments in England and extends to one nautical mile off-shore (the seaward limit of coastal waters under the Water Framework Directive (WFD) in England). Previous national strategies, including the 2007 Defra UK Strategy for Managing Contaminated Marine Sediments (CDMS), focussed on characterising the risks associated with contaminated sediments in the marine environment. However, while extensive research has been carried out in many locations (including as part of WFD implementation studies) and for particular sources of contamination (e.g. historical metal mining; Environment Agency, 2008) there has not been a comprehensive overview of sediment contamination on a national scale. This project seeks to build on the existing evidence base, drawing together information on the freshwater environment to complement that already gathered for marine waters. This project’s overall aim is to provide a sound evidence base on the contamination of in-situ sediments, which can underpin the development of tools and methods that will help Defra, the Environment Agency and other bodies engaged in regulation and protection of water quality

    Generalized Buneman pruning for inferring the most parsimonious multi-state phylogeny

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    Accurate reconstruction of phylogenies remains a key challenge in evolutionary biology. Most biologically plausible formulations of the problem are formally NP-hard, with no known efficient solution. The standard in practice are fast heuristic methods that are empirically known to work very well in general, but can yield results arbitrarily far from optimal. Practical exact methods, which yield exponential worst-case running times but generally much better times in practice, provide an important alternative. We report progress in this direction by introducing a provably optimal method for the weighted multi-state maximum parsimony phylogeny problem. The method is based on generalizing the notion of the Buneman graph, a construction key to efficient exact methods for binary sequences, so as to apply to sequences with arbitrary finite numbers of states with arbitrary state transition weights. We implement an integer linear programming (ILP) method for the multi-state problem using this generalized Buneman graph and demonstrate that the resulting method is able to solve data sets that are intractable by prior exact methods in run times comparable with popular heuristics. Our work provides the first method for provably optimal maximum parsimony phylogeny inference that is practical for multi-state data sets of more than a few characters.Comment: 15 page

    Robinson-Foulds Supertrees

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    <p>Abstract</p> <p>Background</p> <p>Supertree methods synthesize collections of small phylogenetic trees with incomplete taxon overlap into comprehensive trees, or supertrees, that include all taxa found in the input trees. Supertree methods based on the well established Robinson-Foulds (RF) distance have the potential to build supertrees that retain much information from the input trees. Specifically, the RF supertree problem seeks a binary supertree that minimizes the sum of the RF distances from the supertree to the input trees. Thus, an RF supertree is a supertree that is consistent with the largest number of clusters (or clades) from the input trees.</p> <p>Results</p> <p>We introduce efficient, local search based, hill-climbing heuristics for the intrinsically hard RF supertree problem on rooted trees. These heuristics use novel non-trivial algorithms for the SPR and TBR local search problems which improve on the time complexity of the best known (naïve) solutions by a factor of Θ(<it>n</it>) and Θ(<it>n</it><sup>2</sup>) respectively (where <it>n </it>is the number of taxa, or leaves, in the supertree). We use an implementation of our new algorithms to examine the performance of the RF supertree method and compare it to matrix representation with parsimony (MRP) and the triplet supertree method using four supertree data sets. Not only did our RF heuristic provide fast estimates of RF supertrees in all data sets, but the RF supertrees also retained more of the information from the input trees (based on the RF distance) than the other supertree methods.</p> <p>Conclusions</p> <p>Our heuristics for the RF supertree problem, based on our new local search algorithms, make it possible for the first time to estimate large supertrees by directly optimizing the RF distance from rooted input trees to the supertrees. This provides a new and fast method to build accurate supertrees. RF supertrees may also be useful for estimating majority-rule(-) supertrees, which are a generalization of majority-rule consensus trees.</p
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